Apache Spark standalone master (from 1.3.0 onward) exposes a REST API for job submission that does not enforce authentication, even when the cluster is configured with the shared secret mechanism (spark.authenticate.secret) used by spark-submit. As a result, a network-reachable attacker can submit a job via the REST API without authenticating. The issue also affects Mesos-based deployments when using MesosClusterDispatcher for job submission, since it relies on the same REST submission path. The practical effect described is that an unauthenticated user can launch a Spark driver program via the REST API (though not launch executors via this REST path).
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This repository contains a single Metasploit module (modules/exploits/linux/http/spark_unauth_rce.rb) that exploits an unauthenticated remote code execution vulnerability (CVE-2018-11770) in Apache Spark's standalone cluster mode via its REST API. The exploit works by generating a malicious Java payload (as a JAR), hosting it on a temporary HTTP server, and submitting a job to the Spark REST API that loads and executes the payload. The module leverages Metasploit's payload generation and delivery mechanisms, allowing for customizable post-exploitation actions. The main attack vector is network-based, targeting the REST API (default port 6066) without authentication. The exploit is weaponized, as it is part of the Metasploit framework and supports flexible payload options. The code is well-structured, with clear separation of version checking, payload delivery, and job submission logic.
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